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| Title: | Asymmetric elastoplasticity of stacked graphene assembly actualizes programmable untethered soft robotics | Authors: | Wang, S Gao, Y Wei, AR Xiao, P Liang, Y Lu, W Chen, CY Zhang, C Yang, GL Yao, HM Chen, T |
Issue Date: | 2020 | Source: | Nature communications, 2020 , v. 11, no. 1, 4359, p. 1-12 | Abstract: | There is ever-increasing interest yet grand challenge in developing programmable untethered soft robotics. Here we address this challenge by applying the asymmetric elastoplasticity of stacked graphene assembly (SGA) under tension and compression. We transfer the SGA onto a polyethylene (PE) film, the resulting SGA/PE bilayer exhibits swift morphing behavior in response to the variation of the surrounding temperature. With the applications of patterned SGA and/or localized tempering pretreatment, the initial configurations of such thermal-induced morphing systems can also be programmed as needed, resulting in diverse actuation systems with sophisticated three-dimensional structures. More importantly, unlike the normal bilayer actuators, our SGA/PE bilayer, after a constrained tempering process, will spontaneously curl into a roll, which can achieve rolling locomotion under infrared lighting, yielding an untethered light-driven motor. The asymmetric elastoplasticity of SGA endows the SGA-based bi-materials with great application promise in developing untethered soft robotics with high configurational programmability. Developing programmable untethered soft robotics remains a challenge. Here the authors apply the asymmetric elastoplasticity of stacked graphene assembly to address this challenge and realize untethered thermoresponsive morphing in tandem with high configurational programmability. | Publisher: | Nature Publishing Group | Journal: | Nature communications | EISSN: | 2041-1723 | DOI: | 10.1038/s41467-020-18214-0 | Rights: | Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. © The Author(s) 2020 The following publication Wang, S., Gao, Y., Wei, A. R., Xiao, P., Liang, Y., Lu, W., . . . Chen, T. (2020). Asymmetric elastoplasticity of stacked graphene assembly actualizes programmable untethered soft robotics. Nature Communications, 11(1), 4359, 1-12 is available at https://dx.doi.org/10.1038/s41467-020-18214-0 |
| Appears in Collections: | Journal/Magazine Article |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| Wang_Asymmetric_Elastoplasticity_Stacked.pdf | 3.87 MB | Adobe PDF | View/Open |
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